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<a href="_sparse_data_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief   Support for importing and exporting data from and to sparse data (libSVM) formatted data files</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \par</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * The most important application of the methods provided in this</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * file is the import of data from LIBSVM files to Shark Data containers.</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * </span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * </span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * </span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> *</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * \author      M. Tuma, T. Glasmachers, C. Igel</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * \date        2010-2016</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> *</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> *</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * </span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * </span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment"> * </span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment"> *</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment"> */</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#ifndef SHARK_DATA_SPARSEDATA_H</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#define SHARK_DATA_SPARSEDATA_H</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="preprocessor">#include &lt;<a class="code" href="_d_l_l_support_8h.html">shark/Core/DLLSupport.h</a>&gt;</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="preprocessor">#include &lt;<a class="code" href="_key_value_pair_8h.html">shark/Core/utility/KeyValuePair.h</a>&gt;</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="preprocessor">#include &lt;fstream&gt;</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span> </div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment"></span> </div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/**</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment"> * \ingroup shark_globals</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment"> *</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment"> * @{</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment"> */</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span> </div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span> </div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment"></span> </div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">/// \brief Import classification data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">///</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment">/// \param  stream        stream to be read from</span></div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea">   65</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>);</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span> </div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gae9a2dd13db420519622d34edcec14375">   72</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;FloatVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>);</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment"></span> </div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="comment">/// \brief Import regression data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span><span class="comment">///</span></div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span><span class="comment">/// \param  stream        stream to be read from</span></div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gaf8b5574d070babf7dedeff829500fdcd">   85</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>);</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span> </div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga085086c4d2768986ed5001540fc658ff">   92</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;FloatVector, FloatVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>);</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span><span class="comment"></span> </div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span><span class="comment">/// \brief Import classification data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment">///</span></div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment">/// \param  stream        stream to be read from</span></div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga68f2c3c8feb991f8fdeabf16dedc9b2d">  105</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedRealVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>);</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gac2bdbbdf898cc1fe944bbf09eafc8ed9">  111</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedFloatVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>);</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span><span class="comment"></span> </div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span><span class="comment">/// \brief Import regression data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span><span class="comment">///</span></div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span><span class="comment">/// \param  stream        stream to be read from</span></div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga8ea19a0180b9e818e5dedffdf7d2ccb9">  124</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedRealVector, RealVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>);</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gaeb47d90032d64c58461ccd559358fb63">  130</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedFloatVector, FloatVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    std::istream&amp; stream,</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>);</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span> </div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span><span class="comment"></span> </div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span><span class="comment">/// \brief Import classification data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="comment">///</span></div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment">/// \param  fn            the file to be read from</span></div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gaa81118322b7850d186f5d1b97d7fdc94">  144</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    std::string fn,</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>);</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga5ade7ecf4a3b31b2a3e6327e73aadbc4">  150</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;FloatVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>    std::string fn,</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>);</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span><span class="comment"></span> </div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span><span class="comment">/// \brief Import regression data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment">///</span></div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">/// \param  fn            the file to be read from</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga526ddc551c9c8bd7be29069f5dcae1eb">  163</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>    std::string fn,</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>);</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga6a4b8407e1cb2a2f69a06cd972adbb0d">  169</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;FloatVector, FloatVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>    std::string fn,</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>);</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment"></span> </div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment">/// \brief Import classification data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">///</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment">/// \param  fn            the file to be read from</span></div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga1e9320f66abd768d990f6da62a8dae7c">  182</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedRealVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    std::string fn,</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>);</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gada502a40a887a4aa125f4e289e6a1ffe">  188</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedFloatVector, unsigned int&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>    std::string fn,</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, unsigned int&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>);</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span><span class="comment"></span> </div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span><span class="comment">/// \brief Import regression data from a sparse data (libSVM) file.</span></div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span><span class="comment">///</span></div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span><span class="comment">/// \param  dataset       container storing the loaded data</span></div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span><span class="comment">/// \param  fn            the file to be read from</span></div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="comment">/// \param  highestIndex  highest feature index, or 0 for auto-detection</span></div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span><span class="comment">/// \param  batchSize     size of batch</span></div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga66c1cc2162ecd3f639190c8cbba6274d">  201</a></span><span class="comment"></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedRealVector, RealVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>    std::string fn,</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>);</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga6442f395a7bca6ef03952c7f475899ea">  207</a></span><a class="code hl_define" href="_d_l_l_support_8h.html#a54b73283f7f70b27fbd8ac5d4621827f" title="Defines SHARK_COMPILE_DLL.">SHARK_EXPORT_SYMBOL</a> <span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga05146914cce29f558409be3d941da4ea" title="Import classification data from a sparse data (libSVM) file.">importSparseData</a>(</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;CompressedFloatVector, FloatVector&gt;</a>&amp; dataset,</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>    std::string fn,</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> highestIndex = 0,</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>    std::size_t <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a> = <a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;RealVector, RealVector&gt;::DefaultBatchSize</a></div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>);</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span> </div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span><span class="comment"></span> </div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="comment">/// \brief Export classification data to sparse data (libSVM) format.</span></div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span><span class="comment">///</span></div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span><span class="comment">/// \param  dataset     Container storing the  data</span></div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span><span class="comment">/// \param  stream      Output stream</span></div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span><span class="comment">/// \param  oneMinusOne Flag for applying the transformation y&lt;-2y-1 to binary labels</span></div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span><span class="comment">/// \param  sortLabels  Flag for sorting data points according to labels</span></div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00222" data-start="{" data-end="}">
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5">  222</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(<a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, unsigned int&gt;</a> <span class="keyword">const</span>&amp; dataset, std::ostream&amp; stream, <span class="keywordtype">bool</span> oneMinusOne = <span class="keyword">true</span>, <span class="keywordtype">bool</span> sortLabels = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>{</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>    <span class="keywordflow">if</span> (<a class="code hl_function" href="group__shark__globals.html#ga1fee3b5830ae11a78109e8c0265c6569" title="Return the number of classes of a set of class labels with unsigned int label encoding.">numberOfClasses</a>(dataset) != 2) oneMinusOne = <span class="keyword">false</span>;</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span> </div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>    std::vector&lt; KeyValuePair&lt;unsigned int, std::pair&lt;std::size_t, std::size_t&gt; &gt; &gt; order;</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    <span class="keywordflow">for</span> (std::size_t b=0; b&lt;dataset.<a class="code hl_function" href="group__shark__globals.html#gaca4b1e6083184385dba76a21b4c1d42b" title="Returns the number of batches of the set.">numberOfBatches</a>(); b++)</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>    {</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>        <span class="keyword">auto</span> batch = dataset.<a class="code hl_function" href="group__shark__globals.html#ga192f5eced10acf38f3ae723a3c400d98">batch</a>(b);</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batch); i++)</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>        {</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>            order.emplace_back(<a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batch, i).label, std::make_pair(b, i));</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>        }</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>    }</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    <span class="keywordflow">if</span> (sortLabels)</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>    {</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        std::sort(order.begin(), order.end());</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>    }</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span> </div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>    <span class="keywordflow">for</span> (<span class="keyword">auto</span> <span class="keyword">const</span>&amp; p : order)</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>    {</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <span class="keyword">auto</span> element = <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(dataset.<a class="code hl_function" href="group__shark__globals.html#ga192f5eced10acf38f3ae723a3c400d98">batch</a>(p.value.first), p.value.second);</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        <span class="comment">// apply transformation to label and write it to file</span></div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="keywordflow">if</span> (oneMinusOne) stream &lt;&lt; 2*int(element.label)-1 &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>        <span class="comment">//libsvm file format documentation is scarce, but by convention the first class seems to be 1..</span></div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>        <span class="keywordflow">else</span> stream &lt;&lt; element.label+1 &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>        <span class="comment">// write input data to file</span></div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = element.input.begin(); it != element.input.end(); ++it)</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>        {</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>            stream &lt;&lt; <span class="stringliteral">&quot; &quot;</span> &lt;&lt; it.index()+1 &lt;&lt; <span class="stringliteral">&quot;:&quot;</span> &lt;&lt; *it;</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>        }</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>        stream &lt;&lt; std::endl;</div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>    }</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>}</div>
</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span><span class="comment"></span> </div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span><span class="comment">/// \brief Export classification data to sparse data (libSVM) format.</span></div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span><span class="comment">///</span></div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span><span class="comment">/// \param  dataset     Container storing the data</span></div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span><span class="comment">/// \param  fn          Output file name</span></div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span><span class="comment">/// \param  oneMinusOne Flag for applying the transformation y&lt;-2y-1 to binary labels</span></div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span><span class="comment">/// \param  sortLabels  Flag for sorting data points according to labels</span></div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span><span class="comment">/// \param  append      Flag for appending to the output file instead of overwriting it</span></div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00264" data-start="{" data-end="}">
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gade4a41a8c8a1a968625f87e3aa61de13">  264</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(<a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, unsigned int&gt;</a> <span class="keyword">const</span>&amp; dataset, <span class="keyword">const</span> std::string &amp;fn, <span class="keywordtype">bool</span> oneMinusOne = <span class="keyword">true</span>, <span class="keywordtype">bool</span> sortLabels = <span class="keyword">false</span>, <span class="keywordtype">bool</span> append = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>{</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>    std::ofstream ofs;</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span> </div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>    <span class="comment">// shall we append only or overwrite?</span></div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>    <span class="keywordflow">if</span> (append == <span class="keyword">true</span>) {</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>        ofs.open (fn.c_str(), std::fstream::out | std::fstream::app );</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>    } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        ofs.open (fn.c_str());</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>    }</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>    <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(ofs, <span class="stringliteral">&quot;File can not be opened for writing&quot;</span>);</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span> </div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>    <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(dataset, ofs, oneMinusOne, sortLabels);</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>}</div>
</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="comment"></span> </div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span><span class="comment">/// \brief Export regression data to sparse data (libSVM) format.</span></div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span><span class="comment">///</span></div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span><span class="comment">/// \param  dataset     Container storing the data</span></div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span><span class="comment">/// \param  stream      Output stream</span></div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00284" data-start="{" data-end="}">
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga8321f618f7827cdcd5d4628dbbc2e4fe">  284</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(<a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, RealVector&gt;</a> <span class="keyword">const</span>&amp; dataset, std::ostream&amp; stream)</div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>{</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>    <span class="keywordflow">for</span> (std::size_t b=0; b&lt;dataset.<a class="code hl_function" href="group__shark__globals.html#gaca4b1e6083184385dba76a21b4c1d42b" title="Returns the number of batches of the set.">numberOfBatches</a>(); b++)</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    {</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>        <span class="keyword">auto</span> batch = dataset.<a class="code hl_function" href="group__shark__globals.html#ga192f5eced10acf38f3ae723a3c400d98">batch</a>(b);</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>        <span class="keywordflow">for</span> (std::size_t i=0; i&lt;<a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batch); i++)</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>        {</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>            <span class="keyword">auto</span> element = <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batch, i);</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>            <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(element.label.size() == 1);</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>            stream &lt;&lt; element.label(0);</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = element.input.begin(); it != element.input.end(); ++it)</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>            {</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span>                stream &lt;&lt; <span class="stringliteral">&quot; &quot;</span> &lt;&lt; it.index()+1 &lt;&lt; <span class="stringliteral">&quot;:&quot;</span> &lt;&lt; *it;</div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span>            }</div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>            stream &lt;&lt; std::endl;</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span>        }</div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>    }</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>}</div>
</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span><span class="comment"></span> </div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span><span class="comment">/// \brief Export regression data to sparse data (libSVM) format.</span></div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span><span class="comment">///</span></div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span><span class="comment">/// \param  dataset     Container storing the  data</span></div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span><span class="comment">/// \param  fn          Output file</span></div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span><span class="comment">/// \param  append      Flag for appending to the output file instead of overwriting it</span></div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">typename</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00309" data-start="{" data-end="}">
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"><a class="line" href="group__shark__globals.html#ga391baa55061815c4f37ae778f585dd7b">  309</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(<a class="code hl_class" href="classshark_1_1_labeled_data.html" title="Data set for supervised learning.">LabeledData&lt;InputType, RealVector&gt;</a> <span class="keyword">const</span>&amp; dataset, <span class="keyword">const</span> std::string &amp;fn, <span class="keywordtype">bool</span> append = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>{</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>    std::ofstream ofs;</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span> </div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    <span class="comment">// shall we append only or overwrite?</span></div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>    <span class="keywordflow">if</span> (append == <span class="keyword">true</span>) {</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>        ofs.open (fn.c_str(), std::fstream::out | std::fstream::app );</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>    } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>        ofs.open (fn.c_str());</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>    }</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span> </div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>    <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(ofs, <span class="stringliteral">&quot;File can not be opened for writing&quot;</span>);</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span> </div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>    <a class="code hl_function" href="group__shark__globals.html#ga682120386f2b7999fcb3853cd2948bf5" title="Export classification data to sparse data (libSVM) format.">exportSparseData</a>(dataset, ofs);</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>}</div>
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<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span><span class="comment"></span> </div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span><span class="comment">/** @}*/</span></div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span> </div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>}</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span><span class="preprocessor">#endif</span></div>
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